Network Traffic Sampling System Based on Storage Compression for Application Classification Detection

Network Traffic Sampling System Based on Storage Compression for Application Classification Detection

With the development of the Internet, numerous new applications have emerged, the features of which are constantly changing. It is necessary to perform application classification detection on the network traffic to monitor the changes in the applications. Using RelSamp to sample traffic can provide...

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Bibliographic Details
Main Authors: Shichang Xuan, Dezhi Tang, Ilyong Chung, Youngju Cho, Xiaojiang Du, Wu Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Traffic sampling
application classification
shared counter tree
flow tracking
flow table structure
Online Access:https://ieeexplore.ieee.org/document/9050723/

Internet

https://ieeexplore.ieee.org/document/9050723/

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